no code implementations • 16 May 2024 • Xiaosu Zhu, Hualian Sheng, Sijia Cai, Bing Deng, Shaopeng Yang, Qiao Liang, Ken Chen, Lianli Gao, Jingkuan Song, Jieping Ye
We introduce RoScenes, the largest multi-view roadside perception dataset, which aims to shed light on the development of vision-centric Bird's Eye View (BEV) approaches for more challenging traffic scenes.
1 code implementation • 19 Jul 2022 • Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Min-Jian Zhao, Gim Hee Lee
Since Intersection-over-Union (IoU) based optimization maintains the consistency of the final IoU prediction metric and losses, it has been widely used in both regression and classification branches of single-stage 2D object detectors.
1 code implementation • CVPR 2022 • Hanqing Yang, Sijia Cai, Hualian Sheng, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Yong Tang, Yu Zhang
In this paper, we introduce the balanced and hierarchical learning for our detector.
1 code implementation • ICCV 2021 • Hualian Sheng, Sijia Cai, YuAn Liu, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Min-Jian Zhao
Though 3D object detection from point clouds has achieved rapid progress in recent years, the lack of flexible and high-performance proposal refinement remains a great hurdle for existing state-of-the-art two-stage detectors.
no code implementations • ECCV 2018 • Sijia Cai, WangMeng Zuo, Larry S. Davis, Lei Zhang
Video summarization is a challenging under-constrained problem because the underlying summary of a single video strongly depends on users' subjective understandings.
no code implementations • ICCV 2017 • Sijia Cai, WangMeng Zuo, Lei Zhang
The success of fine-grained visual categorization (FGVC) extremely relies on the modeling of appearance and interactions of various semantic parts.
no code implementations • CVPR 2016 • Sijia Cai, Lei Zhang, WangMeng Zuo, Xiangchu Feng
Consequently, we present a probabilistic collaborative representation based classifier (ProCRC), which jointly maximizes the likelihood that a test sample belongs to each of the multiple classes.
no code implementations • 23 Jan 2014 • Linhao Li, Ping Wang, QinGhua Hu, Sijia Cai
A cyclic iteration process is then proposed to extract the background from the discriminative frame set.